Senior Robotics AI Architect - Lead Physical AI Systems

Advanced Micro Devices, Inc.; San Jose (CA); On-site; USD 190,000 - 230,000; Full time

Job summary

Advanced Micro Devices, Inc. seeks a Robotics AI Architect to define and scale next‑gen Physical AI systems for humanoids and high‑DoF platforms.

You’ll lead multi‑layer AI control loops, collaborate with lighthouse customers, and drive platform roadmaps for AI SDKs, runtimes, and reference architectures. You’ll synthesize field learnings into scalable patterns, influence hardware/software co‑design across CPU, GPU, and accelerators, and guide architecture reviews, performance tuning, and

Qualifications

• Experience in Robotics AI architecture, definition and development.
• Proven leadership influencing stakeholders and teams.
• Deep understanding of AI inference runtimes, CPU/GPU/NPU scheduling.

Responsibilities

• Define end-to-end AI control loop architecture for robotics platforms.
• Lead lighthouse customer co-engineering and deployment decisions.
• Shape reference architectures, SDKs, and runtime for Physical AI systems.
• Guide system design, performance trade-offs, and deterministic execution.
• Engage with customers to translate constraints into platform requirements.
• Drive architecture reviews, performance tuning, and debugging strategies.

Skills

Robotics AI architecture

Technical leadership

AI inference runtimes

CPU/GPU/NPU scheduling

ROS2

Real-time systems

Performance tuning

Customer engagement

PoCs

Education

Bachelor’s or Master’s in Electrical Engineering, Computer Engineering, or Computer Science

Tools

ROS2

OpenCV

GStreamer

Job description

Advanced Micro Devices, Inc. seeks a Robotics AI Architect to define and scale next‑gen Physical AI systems for humanoids and high‑DoF platforms.

You’ll lead multi‑layer AI control loops, collaborate with lighthouse customers, and drive platform roadmaps for AI SDKs, runtimes, and reference architectures. You’ll synthesize field learnings into scalable patterns, influence hardware/software co‑design across CPU, GPU, and accelerators, and guide architecture reviews, performance tuning, and